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AI strategy and systems that deliver real business outcomes.

We help you move from “we should use AI” to shipped, measurable systems — without the hype, and without burning a year on R&D.

The problem we solve

Every team is hearing the same pitch: AI will transform your business. Very few are getting a clear answer on where to start, what it will cost, or how to know it worked. Cadex closes that gap. We work alongside your leadership to identify the highest-leverage opportunities, design the system, build it, and prove the ROI.

What we build

AI Strategy & Consulting

Use-case discovery, build-vs-buy analysis, ROI modeling, AI readiness audits, and prioritized roadmaps.

Custom AI Software Development

Applications built around large language models (Claude, GPT, open-source), retrieval-augmented generation (RAG), and fine-tuning where it makes sense.

AI Automation Services

Workflow automation across tools like n8n, Make, and Zapier — combined with custom code where the off-the-shelf nodes run out.

AI Agent Development

Task-specific and multi-agent systems that take action — across email, calendars, CRMs, and internal tools.

Machine Learning Solutions

Predictive models, classification, recommendation engines, and computer vision, with proper evaluation and MLOps.

AI Data Analytics

Conversational analytics, natural-language-to-SQL interfaces, executive dashboards, and the data pipelines underneath.

Our approach

1. Discover

Map your processes, data sources, and the metrics that matter.

2. Prioritize

Identify two to four high-leverage opportunities with clear ROI math.

3. Prototype

Build a working pilot in 4–6 weeks against a measurable benchmark.

4.Scale

Productionize, integrate, monitor, and hand off to your team.

Tech stack

Typescript
Snowflake
Pythone
n8n
Make
OpenAI
Pinecone
bigquery
Anthropic API
llama
llamaindex

Outcomes you can expect

  • A prioritized AI roadmap tied to dollar and hour savings
  • A prioritized AI roadmap tied to dollar and hour savings
  • A prioritized AI roadmap tied to dollar and hour savings
  • Clear documentation and runbooks for your internal team

frequently asked questions

Almost always with a discovery sprint. The point is not to pick a model — it is to map your highest-cost processes and find the two or three where AI will actually move the number. We help you do that in two to four weeks.
It depends. For many use cases (drafting, summarization, customer support, internal search) you can ship value on day one with a retrieval-augmented setup. For predictive models, yes — and we will tell you honestly whether you have enough clean data to train one.
Every project ships with an evaluation framework — accuracy, cost per task, time saved, conversion lift, or whatever metric was promised in scoping. If we cannot measure it, we do not build it.
Yes. We architect for data residency, work with enterprise plans that include zero-data-retention agreements, and can deploy on your own cloud where compliance demands it.